Senior Applied AI Engineer - #2205823

VidLab7


Date: vor 5 Stunden
Stadt: München
Vertragstyp: Ganztags
Arbeitsplan: Volle Tag
VidLab7

VidLab7 is building the world's first Real-Time Avatar Platform for Revenue Teams, putting revenue generation on autopilot. Our AI-native platform deploys pre-trained Real-Time Revenue Avatars that sell, convert, and upsell — live across websites, apps, and outbound emails — with zero ramp-up and 10x efficiency.


We’re not another sales enablement tool. We’re replacing repetitive revenue tasks with always-on, human-like AI avatars that engage buyers face-to-face, 24/7. No more lost leads, slow follow-ups, or static forms. VidLab7 fills the revenue gap where 70% of inbound buyers drop off without ever hearing from a rep.


Backed by $3.5M in pre-seed funding from EQT Ventures, and built by founders with a $60M+ exit track record, we’re on a mission to redefine how revenue works — starting with inbound and scaling through the full GTM motion.


This is not just a startup. It’s the operating system for the next era of sales and customer engagement — AI-native, real-time, and built to scale.


Mission


We’re automating the last great frontier: revenue.


VidLab7's mission is to transform revenue generation into an AI-native process by deploying Real-Time Revenue Avatars that operate autonomously across the full buyer journey — from first touch to renewal and upsell. Our avatars deliver instant, face-to-face, intelligent interactions that today’s buyers expect — without scaling human headcount.


We’re not just reducing cost. We’re unlocking net-new growth at zero marginal cost — reshaping how companies scale sales, customer success, and marketing with AI as the frontline.


Join us and help build the autonomous revenue system that defines the next trillion-dollar GTM infrastructure.


Tasks

  • Optimize and fine-tune machine learning models for lip-syncing, gesture synthesis, and natural language understanding.

  • Integrate LLM-based agents with real-time rendering pipelines.

  • Optimize pipelines for low-latency streaming and real-time performance.

  • Collaborate on architecture for scalable, efficient AI services.

  • Write clean, maintainable code and documentation, and participate in code reviews.

  • Stay up to date with the latest research in generative AI, real-time pipelines, and conversational agents.


Requirements

What We’re Looking For:



  • A self-driven innovator with a growth mindset, capable of thriving in a very fast-paced, dynamic environment. You are proactive, take ownership, and constantly seek creative solutions rather than waiting for direction.

  • Strong problem-solving ability, curiosity, and a passion for pushing the limits of interactive AI. You embrace challenges and ambiguity, and you’re motivated to turn novel ideas into reality.


Technical Skills:



  • Strong experience in machine learning / deep learning, particularly with models for vision, NLP, or generative media.

  • Solid programming skills in Python (e.g., PyTorch, TensorFlow); familiarity with C++ is a plus.

  • Experience with real-time systems, streaming pipelines, or latency-sensitive applications.

  • Understanding of LLMs, dialogue systems, or multimodal AI.

  • Familiarity with cloud services (e.g., GCP, AWS) and containerization (e.g., Docker, Kubernetes).

  • (Optional) Experience with MLOps and modern software development cycles.


Benefits

When you join VidLab7, you become part of a closely-knit, mission-driven team. Our collaborative culture ensures that everyone shares in our success. We offer flexible work schedule, PTO and highly competitive healthcare benefits, and a chance to directly drive impact and grow with a team you love.

At VidLab7, we don’t seek cultural fits — we seek culture creators. Diversity is the cornerstone of our success; it shapes how we hire, communicate, and collaborate. We embrace inclusivity, leveraging our diverse backgrounds, skill sets, and perspectives to create the best experiences for our clients.Join us and help shape the future of AI-powered engagement.

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